The widespread use of low Earth orbit (LEO), especially by thousands of CubeSats, has opened up many opportunities in research and business applications. One particular field that has benefited from ...

Abstract: In the processing of high-resolution remote sensing images, multiscale feature fusion techniques ... extraction techniques with an enhanced attention mechanism, a dual temporal difference ...

However, traditional remote sensing technologies ... which combines the "image pyramid" principle with multi-source satellite data. This technique layers high-resolution thermal infrared imagery ...

The method involves selecting the optimal sensitive spectral bands or combinations to construct two remote sensing indices ... The spatial resolution of other bands is 60 m. Due to its high spatial ...

This study demonstrated that combining multi-temporal remote sensing images near the sampling period significantly ... MODIS satellites, with their 1-day temporal resolution, were initially considered ...

This repository contains the official implementation of the paper DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding ... enabling cross-task ...

IDS recently announced the launch of an industrial camera series based on Prophesee’s event-based Metavision® sensing and ... with an unmatched temporal resolution for fast processing and ...

With machine learning-enhanced forecasting models, high-resolution remote sensing, and robust economic planning, seismic resilience is entering a new era that could redefine how we anticipate and ...

Abstract: Due to the inherent inductive bias of operations, convolutional neural networks (CNN) cannot model global information of remote sensing ... images. To address these two issues, we propose a ...

VRSBench VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding Link 29.6k FIT-RS SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote ...